Systems and methods for managing a programmable thermostat

ABSTRACT

Systems and methods for managing a programmable thermostat are described herein. One or more system embodiments include a programmable thermostat having a first management profile; a data acquisition subsystem; and a data analysis subsystem. The data acquisition subsystem is configured to receive thermostat data from the programmable thermostat, and the data analysis subsystem is configured to receive the thermostat data from the data acquisition subsystem, and determine a second management profile for the programmable thermostat based, at least in part, on the thermostat data.

TECHNICAL FIELD

The present disclosure relates to systems and methods for managing a programmable thermostat.

BACKGROUND

Programmable thermostats (e.g., thermostats designed to adjust temperature according to a number of programmed settings) can be an important part of energy management in many types of structures, including, but not limited to, homes, apartments, and offices. For example, the programmed settings of an area (e.g., a room in a house) can be adjusted according to the time of day and/or the day of the week, thereby reducing and/or eliminating the waste of energy resulting from heating and/or cooling areas at unnecessary times.

Users of programmable thermostats may minimize and/or negate the energy and/or cost saving potential of programmable thermostats by programming them ineffectively (e.g., not using the programmed settings optimally). For example, programmable thermostats may be difficult to program, and/or optimizing their use may require the user to predict the user's heating and/or cooling needs. Users may find that programming a programmable thermostat may be so burdensome as to abandon any attempts to use the programming function altogether. Additionally, a user may improperly program a thermostat causing heating and/or cooling systems to activate at times when the user is not home. This may result in the user's energy bills being unnecessarily expensive.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a system for managing a programmable thermostat in accordance with one or more embodiments of the present disclosure.

FIG. 2 illustrates a system for managing a programmable thermostat in accordance with one or more embodiments of the present disclosure.

FIG. 3 illustrates a method for managing a programmable thermostat in accordance with one or more embodiments of the present disclosure.

DETAILED DESCRIPTION

Systems and methods for managing a programmable thermostat are described herein. One or more system embodiments include a thermostat having a first management profile, a data acquisition subsystem configured to receive thermostat data from the thermostat, and a data analysis subsystem. The data analysis subsystem is configured to receive the thermostat data from the data acquisition subsystem, and determine a second management profile for the programmable thermostat based, at least in part, on the thermostat data.

Systems and/or methods in accordance with one or more embodiments of the present disclosure can determine a cost-efficient way to operate a programmable thermostat while satisfying a user's heating and/or cooling needs. Additionally, embodiments of the present disclosure can reduce unneeded usage of heating and/or cooling systems in a structure (e.g., part of a structure). Further, embodiments of the present disclosure can monitor and/or predict a behavior of a user (e.g., a user's return time to the area managed by the programmable thermostat) to determine, for example, when to activate heating, ventilating, and air conditioning (HVAC) systems. Additionally, embodiments according to the present disclosure can develop a more efficient management of a programmable thermostat and communicate that management to the user through, for example, a user device. Further, embodiments of the present disclosure can develop a more efficient management profile of a programmable thermostat and automatically implement that management profile on the programmable thermostat.

In the following detailed description, reference is made to the accompanying drawings that form a part hereof. The drawings show by way of illustration how one or more embodiments of the disclosure may be practiced. These embodiments are described in sufficient detail to enable those of ordinary skill in the art to practice one or more embodiments of this disclosure. It is to be understood that other embodiments may be utilized and that process, electrical, and/or structural changes may be made without departing from the scope of the present disclosure.

The figures herein follow a numbering convention in which the first digit or digits correspond to the drawing figure number and the remaining digits identify an element or component in the drawing. Similar elements or components between different figures may be identified by the use of similar digits. For example, 110 may reference element “10” in FIG. 1, and a similar element may be referenced as 210 in FIG. 2.

As will be appreciated, elements shown in the various embodiments herein can be added, exchanged, combined, and/or eliminated so as to provide a number of additional embodiments of the present disclosure. The proportion and the relative scale of the elements provided in the figures are intended to illustrate the embodiments of the present disclosure, and should not be taken in a limiting sense.

As used herein, “a” or “a number of” something can refer to one or more such things. For example, “a number of programmed set points” can refer to one or more programmed set points.

FIG. 1 illustrates a system 100 for managing a programmable thermostat in accordance with one or more embodiments of the present disclosure. As shown in FIG. 1, system 100 includes a computing device 104 having a data acquisition subsystem 106 and a controller 108. Computing device 104 can be a multi-lingual and/or multi-interface device configured to communicate with a number of link layer interfaces such as, for instance, Ethernet, power line carrier (PLC), Wifi, Homeplug, Redlink, IEEE 802.15.4, Bluetooth, etc.

Although not shown in FIG. 1, computing device 104 can include a memory. Memory can be volatile or nonvolatile memory. Memory can also be removable, e.g., portable memory, or non-removable, e.g., internal memory. For example, memory can be random access memory (RAM) (e.g., dynamic random access memory (DRAM), and/or phase change random access memory (PCRAM)), read-only memory (ROM) (e.g., electrically erasable programmable read-only memory (EEPROM) and/or compact-disk read-only memory (CD-ROM)), flash memory, a laser disk, a digital versatile disk (DVD), and/or other optical disk storage, and/or a magnetic medium such as magnetic cassettes, tapes, or disks, among other types of memory.

Further, although memory can be located within computing device 104, embodiments of the present disclosure are not so limited. For example, memory can also be located internal to another computing resource, e.g., enabling computer readable instructions to be downloaded over the Internet or another wired or wireless connection. Although not shown in FIG. 1, data analysis subsystem 110 can also be a computing device having a processor and a memory in a manner analogous to that previously discussed in connection with computing device 104.

As shown in FIG. 1, computing device 104 and data analysis subsystem 110 are communicatively coupled to a programmable thermostat 102. For example, computing device 104 and data analysis subsystem 110 can communicate with programmable thermostat 102 through a wired and/or wireless connection and/or through the Internet and/or another wired and/or wireless network. Programmable thermostat 102 can include a computing device with a memory and a processor in a manner analogous to that as previously discussed in connection with computing device 104. Programmable thermostat 102 can include devices that allow for a controlled temperature in a structure (e.g., a portion of a structure) and can allow a user to manage a number of settings regarding heating and/or cooling systems. Controlling a temperature can include, by way of example and not limitation, activating and/or deactivating an HVAC system.

Programmable thermostat 102 can have a first management profile. A first management profile can include, for example, a number of operation characteristics of programmable thermostat 102 (e.g., user-programmed operation(s) and/or schedule(s) of programmable thermostat 102). For example, a first management profile can include a temperature at which programmable thermostat 102 activates a heating system and/or a temperature at which programmable thermostat 102 activates an air conditioning system. Further, a first management profile can include a number of time-sensitive and/or day-of-the-week sensitive operations of a HVAC system. For example, a management profile can include programmable thermostat 102 controlling an HVAC system's operations to maintain a temperature of approximately 70 degrees Fahrenheit in a house (e.g., part of a house) from 6:00 am until 8:00 am, and again from 3:30 pm until 4:30 pm Monday through Friday. Further, management profile can include a profile input by a user at programmable thermostat 102 at, for example, a display on programmable thermostat 102 discussed below.

Other details and/or characteristics of a management profile of programmable thermostat 102 can depend on, among other things, the manufacturer, model, and/or complexity of programmable thermostat 102 and/or an HVAC system associated therewith. For example, a modern programmable thermostat may have more options and/or more technologically advanced programming capabilities than an early model programmable thermostat. Additionally, embodiments of the present disclosure do not limit programmable thermostat 102 to a first management profile; rather, programmable thermostat 102 can include any number of management profiles (e.g., a second and/or third management profile in accordance with one or more embodiments of the present disclosure as discussed below).

Although not shown in FIG. 1, programmable thermostat 102, computing device 104, and/or data analysis subsystem 110 can include a user interface (e.g., a number of user interfaces). A user interface can include, for example, a screen that can provide (e.g., display and/or present) information to a user of programmable thermostat 102, computing device 104, and/or data analysis 110. However, embodiments of the present disclosure are not limited to a particular type of user interface.

Data analysis subsystem 108 can execute executable instructions stored in memory to manage programmable thermostat 102, as discussed below, in accordance with one or more embodiments of the present disclosure. For example, data analysis subsystem 108 can execute the executable instructions stored in memory to perform a method for managing a programmable thermostat (e.g., programmable thermostat 102) further described herein (e.g., in connection with FIG. 3).

Data acquisition subsystem 106 can receive thermostat data (e.g., usage data) from programmable thermostat 102 in accordance with one or more embodiments of the present disclosure. Thermostat data can include, but is not limited to, time of day, day of week, holiday/business day, set point(s) (e.g., temperature(s) that a user can desire programmable thermostat 102 to maintain), ambient humidity, ambient temperature, space temperature, space humidity, heater temperature set point, cooler temperature set point, heater relay state(s), and/or cooler relay state(s), and/or combinations of these data and/or other data. Data acquisition subsystem 106 can be configured to receive thermostat data at a predetermined time, at a predetermined interval, and/or at random times and/or intervals.

Data analysis subsystem 108 can receive the thermostat data from data acquisition subsystem 106 and determine a second management profile for the programmable thermostat 102 based, at least in part, on the thermostat data. Data analysis subsystem 108 can receive the thermostat data at a predetermined time, at a predetermined interval, and/or at random times and/or intervals from data acquisition subsystem 106.

Data analysis subsystem 108 can analyze the thermostat data and determine a second management profile that can yield a cost savings to a user of programmable thermostat 102. For example, data analysis subsystem 108 can determine whether programmable thermostat 102 is used daily by a user to program a number of modes, such as “wake,” “away,” “return,” and/or “sleep,” among other modes. Utilizing a number of modes can be cost-effective because, for example, a user may desire an indoor temperature of 70 degrees while the user is eating breakfast, but may be less concerned about indoor temperature while the user is away. Thus, the “awake” and “away” modes can be programmed differently to reflect this. If a user is not using these modes in a cost-efficient manner (e.g., the “awake” mode that maintains a temperature of 70 degrees is employed all day in a cold climate), data analysis subsystem 108 can determine that the user could spend less on energy costs by using a number of modes more efficiently and/or cost-effectively. Thus, a second management profile can include a determination that utilization of different modes can save a user costs associated with energy usage.

In addition, data analysis subsystem 108 can determine a second management profile that can include a thermostat schedule that more correctly reflects a user's schedule than the first management profile. For example, data analysis subsystem 108 can determine a number of set points that correspond with a number of heating and/or cooling needs of the user more closely than those of the first management profile. A user's schedule can depend on many factors, including, but not limited to, a particular day of a week, a particular week of a year and/or a season of a year, as well as combinations of these factors and/or other factors.

Data analysis subsystem 108 can use, for example, time clustering and set point deviation analysis to assess the usage of the programmable thermostat 102 from thermostat data. Embodiments of the present disclosure are not so limited, and can include data received from sources outside the programmable thermostat 102. For example, data analysis subsystem 108 can acquire energy usage data from a utility company providing power to the structure (e.g., partial structure) managed by programmable thermostat 102. Data analysis subsystem 108 can compare historical energy usage data and make a number of comparisons between a first management profile (e.g., the management profile previously used in programmable thermostat 102) and a number of potential management profiles, one of which and/or combinations of which can be used to determine the second management profile.

Data analysis subsystem 106 can receive and/or use data in connection with one or more environmental conditions to determine a second management profile. For example, a user can program programmable thermostat 102 to activate a heating system at 8:00 am on weekday mornings to maintain a comfortable temperature. However, data analysis subsystem 108 can determine that because of, for example, unseasonably hot weather, the heating system need not be activated on a particular day in order to maintain a user desired and/or input temperature preference in an area managed by programmable thermostat 102. Data pertaining to one or more environmental conditions can be received by data acquisition system 106 and/or data analysis subsystem 108, and can be derived, for example, from a device such as a temperature sensor (not shown in FIG. 1). Embodiments of the present disclosure do not limit the acquisition of environmental data to sensing devices; rather, environmental data can be acquired from any suitable source, including, for example, a communicative coupling to the Internet and/or a governmental agency promulgating weather information.

As shown in FIG. 1, system 100 includes a user device 110. User device 110 can be a computing device and/or a mobile device (e.g., a cellular telephone and/or personal digital assistant (PDA), among other mobile devices). One or more embodiments according to the present disclosure can allow data analysis subsystem 108 to predict a number of behaviors, including, for example, a return time of a user to an area (e.g., structure) managed by programmable thermostat 102. User device 110 can be equipped with Global Positioning System (GPS) technology allowing data analysis subsystem 108 to receive a location of user device 110. Receiving a location of a user device 110 can be useful to determine occupancy (e.g., presence of a user within an area managed by programmable thermostat 102). For example, if a user typically leaves work on a weekday at approximately 5:30 pm and drives directly to an area managed by programmable thermostat 102, data analysis subsystem 108 can compare a GPS location of the user (e.g., the user carrying user device 110) with a number of energy consumption data associated with the area managed by programmable thermostat 102. Data analysis subsystem 108 can, for example, use this comparison to predict a return time of the user to structure 110. As an additional example, data analysis subsystem 108 can use the predicted return time, at least in part, to determine the second management profile for programmable thermostat 102.

Data analysis subsystem 108 can acquire additional data regarding occupancy as discussed in more detail below in connection with FIG. 2. Additional data regarding occupancy can be used to determine a second management profile in accordance with one or more embodiments of the present disclosure.

Upon determination of the second management profile, system 100 can communicate the second management profile to a user. The second management profile can be communicated, for example, via a message (e.g., a text message and/or email message, among other messages) sent to user device 110. Additionally and/or alternatively, the second management profile can be communicated to a user via a display of a programmable thermostat, such as the display of programmable thermostat 102 as previously discussed, though not shown in FIG. 1. Embodiments of the present disclosure do not limit communication of the second management profile to electronic message(s) and/or display(s) on programmable thermostat 102; rather, any means of communication can be used to apprise a user of the second management profile. Further, the second management profile can be communicated to the user automatically and/or at a predetermined time and/or at a predetermined interval (e.g., schedule). For example, system 100 can communicate the second management profile to a user at the end of a calendar month. Additionally and/or alternatively, the management profile can be communicated to a user upon an input (e.g., request) made by the user via, for example, user device 110 and/or programmable thermostat 102.

System 100 can communicate additional information associated with the second management profile to a user. For example, user device 110 and/or programmable thermostat 102 can display the second management profile and an expected monetary savings from implementation of the second profile. System 100 can also display energy conservation information. For example, the second management profile may conserve energy and have a lesser environmental impact than the first management profile. System 100 can display to the user the lesser impact that may result from implementation of the second management profile. Additionally, system 100 can include a communication to a user and/or a provider regarding an energy performance guarantee service. For example, system 100 can communicate that the second management profile is allowing the user to adhere to a performance guarantee regarding energy usage of an HVAC system controlled by programmable thermostat 102.

Upon communication of the second management profile to a user, the user can indicate and/or verify that the user desires the second management profile to be implemented on programmable thermostat 102. Alternatively, the user can indicate that the user does not desire the second management profile to be implemented on programmable thermostat 102. The user can make either and/or both of these indications via, for example, a user interface associated with programmable thermostat 102. Embodiments of the present disclosure, however, do not limit a user's choices regarding implementation of the of the communicated second management profile to a simple “yes” or “no.” System 100 can allow a user to modify the first management profile and/or the second management profile and implement the modified management profile (e.g., modified first management profile and/or modified second management profile) on thermostat 102. The user can make these modifications via, for example, a number of inputs on a user interface of programmable thermostat 102 and/or user device 110, among other sources. A user can also modify either the first or second management profiles without implementation by, for example, storing a modified management profile in a memory of the programmable thermostat and/or computing device 104 for, for example, implementation at a later time.

In addition to, or in place of, communicating the second management profile to a user, system 100 can automatically implement the second management profile on programmable thermostat 102 upon a determination that the second management profile will yield a lower cost to a user than the first management profile. As previously discussed, data analysis subsystem 108 can use a predicted and/or actual cost (e.g., a monetary cost) to a user associated with managing programmable thermostat 102. If the second management profile will yield and/or is likely to yield a lower cost to a user, programmable thermostat 102 can automatically implement the second management profile. Automatic implementation of the second management profile can occur, for example, in addition to communication of the second management profile, and can result from a user input indicating the user desires a more cost-effective management profile to be automatically implemented upon its determination by data analysis subsystem 108.

In addition to communicating and/or implementing the second management profile, data analysis subsystem 108 can allow a user to modify the second profile. For example, a user might approach programmable thermostat 102 and notice that a new (e.g., second) management profile has been implemented on programmable thermostat 102. Although, in this example, data analysis subsystem 108 has determined that the second management profile may be the most cost-efficient profile, and thus has implemented it on programmable thermostat 102, it may be that the user desires to modify the profile. Embodiments of the present disclosure can receive a number of inputs from a user at programmable thermostat 102, user device 110, and/or other locations. Modifications include changes to set points, changes in user schedule, etc. A user can program modifications to the second profile in a manner analogous to normal programming on programmable thermostat 102.

As shown in FIG. 1, system 100 includes a user device 110. User device 110 can include a mobile device (e.g., a cellular telephone and/or a personal digital assistant (PDA), among other mobile devices), however embodiments of the present disclosure do not limit user device 110 to a mobile device; rather, user device 110 can, for example, include a personal computer, among other devices.

FIG. 2 illustrates a system 200 for managing a programmable thermostat in accordance with one or more embodiments of the present disclosure. As shown in FIG. 2, system 200 includes a programmable thermostat 202 (containing a data acquisition subsystem 206) communicatively coupled to a data analysis subsystem 208, a user device 210, and an occupancy detection engine 212. Although not shown in FIG. 2, user device 210, occupancy detection engine 212, and/or data analysis subsystem 208 can be communicatively coupled directly to each other.

Programmable thermostat 202 can be a programmable thermostat as previously discussed (e.g., programmable thermostat 102 previously discussed in connection with FIG. 1). Data acquisition subsystem 206 can acquire usage data in a manner analogous to data acquisition subsystem 106 gathering thermostat data as previously discussed in connection with FIG. 1. Data analysis subsystem 208 can receive the usage data from programmable thermostat 202 and determine a second management profile for programmable thermostat 202 based, at least in part, on the usage data, in a manner analogous to data analysis subsystem 108 previously discussed in connection with FIG. 1.

User device 210 can be analogous to user device 110 shown in FIG. 1, and as previously discussed. User device 210 can provide a GPS location of a user, and receive the second management profile from data analysis subsystem 208 in a manner analogous to user device 110 as previously discussed.

As shown in FIG. 2, system 200 includes occupancy detection engine 212. Occupancy detection engine 212 can be a subsystem that determines whether a number of occupants (e.g., individuals) are present in an area managed by programmable thermostat 202. Occupancy detection engine 212 can include an occupancy sensor. Occupancy sensors can include a number of sensing devices, for example, acoustic devices, cameras, infrared (IR) sensing devices, carbon dioxide (CO₂) detectors, etc. However, occupancy detection engine 212 is not limited to occupancy sensors and/or sensing devices; occupancy detection engine 212 can determine occupancy from a number of factors and/or data. For example, occupancy detection engine 212 can receive energy consumption data from the area managed by programmable thermostat 202 and analyze that data to determine whether an occupant is present. Additionally, occupancy detection engine 212 can determine occupancy for a predetermined time and/or at a predetermined schedule. Historical occupancy data received from occupancy detection engine 212 can be stored in memory (not shown in FIG. 2) in a manner analogous to the memory previously discussed in connection with FIG. 1. A determination of occupancy and/or multiple determinations of occupancy over time can be used by data analysis subsystem to determine the second management profile. Occupancy detection engine 212 may be useful to determine the second management profile because, for example, an area may not need to be heated and/or cooled in the absence of any occupants.

FIG. 3 illustrates a method 303 for managing a programmable thermostat in accordance with one or more embodiments of the present disclosure. Method 303 can be performed, for example, by computing device 110 and/or 210 previously described in connection with FIGS. 1 and 2, respectively, to determine a second management profile for the programmable thermostat.

At block 322, method 320 includes receiving thermostat data from a programmable thermostat having a first management profile. The programmable thermostat can be analogous to a programmable thermostat as previously discussed in connection to FIGS. 1 and 2 (e.g., programmable thermostat 102 and/or 202) and can have a first management profile as previously discussed. Receiving thermostat data can be done in a manner analogous to the receiving of thermostat data from data acquisition subsystem 106 and/or 206 previously discussed in connection with FIGS. 1 and 2.

At block 324, method 320 includes analyzing the thermostat data. Analyzing the thermostat data can include analyzing historical data stored in memory relating to, for example, temperature, humidity, environmental condition(s), occupancy, and/or user inputs, among other data. Analyzing can be in a manner analogous to that previously discussed in connection with FIG. 1 (e.g., time clustering and set point deviation analysis) among other methods.

At block 326, method 320 includes determining a second management profile for the programmable thermostat based, at least in part, on the analysis of the thermostat data. Determining a second management profile can include determining the second management profile as previously discussed in connection with FIG. 1.

Although not shown in FIG. 3, method 320 can include analyzing additional thermostat data, and determining a third management profile for the programmable thermostat based, at least in part, on the analysis of the additional thermostat data. The third management profile can be communicated (e.g., presented on a display) to the user in a manner analogous to the communication of the second management profile. Additionally and/or alternatively, the third management profile can automatically be implemented on the programmable thermostat upon a determination that it will save cost (e.g., monetary cost) to a user over the first and/or second management profiles.

Although specific embodiments have been illustrated and described herein, those of ordinary skill in the art will appreciate that any arrangement calculated to achieve the same techniques can be substituted for the specific embodiments shown. This disclosure is intended to cover any and all adaptations or variations of various embodiments of the disclosure.

It is to be understood that the above description has been made in an illustrative fashion, and not a restrictive one. Combination of the above embodiments, and other embodiments not specifically described herein will be apparent to those of skill in the art upon reviewing the above description.

The scope of the various embodiments of the disclosure includes any other applications in which the above structures and methods are used. Therefore, the scope of various embodiments of the disclosure should be determined with reference to the appended claims, along with the full range of equivalents to which such claims are entitled.

In the foregoing Detailed Description, various features are grouped together in example embodiments illustrated in the figures for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the embodiments of the disclosure require more features than are expressly recited in each claim.

Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed embodiment. Thus, the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separate embodiment. 

1. A system for managing a programmable thermostat, comprising: a programmable thermostat having a first management profile; a data acquisition subsystem configured to receive thermostat data from the programmable thermostat; and a data analysis subsystem configured to: receive the thermostat data from the data acquisition subsystem; and determine a second management profile for the programmable thermostat based, at least in part, on the thermostat data.
 2. The system of claim 1, wherein the data acquisition subsystem is included in a single computing device communicatively coupled to the programmable thermostat and the data analysis subsystem.
 3. The system of claim 1, wherein the data acquisition subsystem is included in a mobile device associated with a user of the programmable thermostat.
 4. The system of claim 1, wherein the data analysis subsystem is configured to receive location data from a mobile device that indicates that a user is returning to a structure managed by the programmable thermostat.
 5. The system of claim 1, wherein the data analysis subsystem is configured to receive occupancy data that indicates whether a user is present in a structure managed by the programmable thermostat.
 6. The system of claim 1, wherein the data analysis subsystem is configured to communicate the second management profile to a user according to a predetermined schedule.
 7. The system of claim 1, wherein the programmable thermostat is configured to automatically implement the second management profile upon a determination that the second management profile will yield a lower cost to a user than the first management profile.
 8. A system for managing a programmable thermostat, comprising: a programmable thermostat having a first management profile, wherein the programmable thermostat includes a data acquisition subsystem configured to determine usage data associated with the programmable thermostat; and a data analysis subsystem configured to: receive the usage data from the programmable thermostat; determine a second management profile for the programmable thermostat based, at least in part, on the usage data; and communicate the second management profile to the programmable thermostat.
 9. The system of claim 8, wherein the usage data includes a temperature, a humidity, and a number of programmed set points of the first management profile.
 10. The system of claim 8, wherein the data analysis subsystem is configured to determine the second management profile for the programmable thermostat based, at least in part, on a predicted return time of a user.
 11. The system of claim 8, wherein the data analysis subsystem is configured to determine the second management profile for the programmable thermostat based, at least in part, on a determination of occupancy in a structure managed by the programmable thermostat.
 12. The system of claim 8, wherein the second management profile includes a display of a predicted monetary savings over the first management profile.
 13. The system of claim 8, wherein the programmable thermostat is configured to display the second management profile upon a request by a user.
 14. The system of claim 8, wherein the second management profile includes a number of programmed set points of the programmable thermostat, wherein programmed set points include an indication of a time that a heating system is activated.
 15. The system of claim 8, wherein the programmable thermostat is configured to implement the second management profile upon an input by the user at the programmable thermostat.
 16. A computer-implemented method for managing a programmable thermostat, comprising: receiving thermostat data from a programmable thermostat having a first management profile; analyzing the thermostat data; and determining a second management profile for the programmable thermostat based, at least in part, on the analysis of the thermostat data.
 17. The method of claim 16, wherein the method includes receiving the thermostat data according to a predetermined schedule.
 18. The method of claim 16, wherein the thermostat data includes data associated with an environmental condition outside a structure managed by the programmable thermostat.
 19. The method of claim 16, wherein the method includes: receiving additional thermostat data from the programmable thermostat; analyzing the additional thermostat data; and determining a third management profile for the programmable thermostat based, at least in part, on the analysis of the additional thermostat data.
 20. The method of claim 16, wherein the method includes allowing a user to modify the second management profile via a mobile device communicatively linked to the programmable thermostat. 